CSP Realm
Scan the universe for ranked put setups
Run the screener against a normalized universe, then load any ranked result straight into the editable intelligence workflow without leaving the page.
CSP Intelligence
Cash-secured put analysis
for smarter income decisions
MarketScope frames cash-secured put setups through secured-cash yield, downside cushion, break-even quality, volatility context, liquidity, and assignment-to-purchase risk so the workflow reads like a calm decision workstation, not a generic options form.
CSP Intelligence
Directly analyze a specific contract
Load a ticker, strike, and expiration to open the market data drawer, then analyze the setup through the production objective-aware CSP scoring engine.
Awaiting start
Analysis results
AAPL · $205.00 put · Apr 17, 2026
Confidence Score
62/100
Workable but with notable compromises (Fair alignment)
Setup Type
Yield-Favored
Balanced objective selected
Yield Quality
Good
81/100 secured-cash yield quality
Cushion Quality
Moderate
59/100 downside cushion quality
Assignment Quality
Neutral
60/100 ownership attractiveness at break-even
Premium Trap
Watch
29/100 premium-trap pressure
Purchase Risk
Contained
43/100 assignment-to-purchase risk
Execution Quality
Good
74/100 liquidity and spread quality
Assignment Quality
Neutral
60/100Owning shares at break-even is workable, but the entry is not clearly advantaged.
Premium Trap Detector
Watch
29/100Premium is acceptable, but at least one risk input needs a closer read before selling the put.
Decision Summary
The setup is workable for balanced, but the yield-to-risk balance is no longer clean.
Why this setup works
- -Return on secured cash is +1.51% with +18.40% annualized over 30 DTE, while yield quality scores 81/100.
- -The strike sits +4.43% below spot and break-even lands at $201.90, which gives the setup +5.87% of downside cushion from current price.
- -Assignment quality is neutral and the premium-trap detector is watch, based on market context 65/100 and execution quality 74/100.
Main risk
Premium helps reduce cost basis, but it does not protect the setup from large downside if the stock breaks lower after entry.
Confidence framing
Workable but with notable compromises. Objective alignment is fair for balanced, and the score measures fit to the selected CSP objective rather than generic premium attractiveness. Premium-trap risk trims the published score by 4 points.
Intelligence Engine
How the engine scores this setup
Scores against the selected objective rather than generic option attractiveness.
Blends secured-cash yield, downside cushion, break-even quality, purchase risk, liquidity, and event-aware context.
Frames assignment correctly as buying 100 shares at the strike offset by premium received.
Strike Ladder
Nearby strikes for the loaded expiration
Compare the safer, balanced, and more aggressive nearby strikes without leaving the current CSP workflow.
Load a contract with Start or select a CSP Realm result to render the nearby-strike ladder.
Future Integration
CSP intelligence endpoint placeholder. The frontend shell is ready, and the production scan plus scoring workflow remains intact for future backend wiring.
POST /api/csp-intelligence/analyze